The Indicators chosen represent the best proxies we could find for the complex disparity themes we set out to measure. The following criteria were used to determining the indicators included in each of the topics in the final framework:
1. Data is available, high quality, and from a reliable source.
2. We will be able to calculate change over time (i.e., data is updated and accessible on an
annual basis and changes from year to year can be meaningfully interpreted).
3. There is a strong causal model for why this Indicator matters (i.e., we understand the
context behind the Indicator and how disparities affect people).
4. The data accurately represents the impact of inequity on people’s lives (e.g., not
measuring quantity when what matters is quality).

The Indicators chosen represent the best proxies we could find for the complex disparity themes we set out to measure. The following criteria were used to determining the indicators included in each of the topics in the final framework:
1. Data is available, high quality, and from a reliable source.
2. We will be able to calculate change over time (i.e., data is updated and accessible on an
annual basis and changes from year to year can be meaningfully interpreted).
3. There is a strong causal model for why this Indicator matters (i.e., we understand the
context behind the Indicator and how disparities affect people).
4. The data accurately represents the impact of inequity on people’s lives (e.g., not
measuring quantity when what matters is quality).

This Indicator measures the age-adjusted rate of chronic diseases preventable hospitalizations. “Preventable hospitalizations” are inpatient hospital stays that could have been avoided with improved access to and quality of outpatient care. They are measured by prevention quality indicators (PQIs). PQI #92, the chronic composite, is a summary measure which captures preventable hospitalizations from diabetes-related, respiratory-related and circulatory system-related preventable hospitalizations for adults, such as uncontrolled diabetes, asthma, and heart failure.(Source:http://www.healthyalamedacounty.org/indicators/index/view?indicatorId=2480&locale Id=238)

This Indicator compares zip codes in which more than 60% of the population is non-White to those in which more than 60% of the population is White. The third category of zip codes is those in which the population is racially and ethnically mixed. Data is from 2013 through the third quarter of 2015.

The Indicators chosen represent the best proxies we could find for the complex disparity themes we set out to measure. The following criteria were used to determining the indicators included in each of the topics in the final framework:
1. Data is available, high quality, and from a reliable source.
2. We will be able to calculate change over time (i.e., data is updated and accessible on an
annual basis and changes from year to year can be meaningfully interpreted).
3. There is a strong causal model for why this Indicator matters (i.e., we understand the
context behind the Indicator and how disparities affect people).
4. The data accurately represents the impact of inequity on people’s lives (e.g., not
measuring quantity when what matters is quality).